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سيل من التفاصيل عن "A Cloud Guru | Google Certified Professional Data Engineer [FCO]"

A Cloud Guru | Google Certified Professional Data Engineer [FCO]

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اسم:	A Cloud Guru \| Google Certified Professional Data Engineer [FCO]
الوصف: By: Tim Berry Publisher: ACloud.Guru Duration: 12.8 hours Course Source: https://acloud.guru/learn/gcp-certified-professional-data-engineer Learn how to design, build and operate powerful big data and machine learning solutions using Google Cloud Platform. Description Hello Cloud Gurus! Data management, data analytics, machine learning and artificial intelligence are all hot topics. And who does these better than Google? Our Google Certified Professional Data Engineer course will help prepare you for the certification exam so you can take that next step in your Cloud career and demonstrate your proficiency in one of the most in-demand disciplines in the industry today. The primary focus of this course is to prepare you for the GCP Professional Data Engineer certification exam. Along the way you’ll solidify your foundations in data engineering and machine learning, ensuring that by the end of the course you will be able to design and build data processing solutions, operationalize machine learning models and gain a working knowledge of relevant GCP data processing tools and technologies. This course will teach you how to: • Design, build and operationalize data solutions • Process data streams in real-time • Efficiently store and access data in the cloud • Use the GCP pre-trained AI APIs (vision, speech and text) • Train and operationalize ML models. The Google Cloud Professional Data Engineer is for data scientists, solution architects, devops engineers and anyone wanting to move into machine learning and data engineering in the context of Google. Students will need to have some familiarity with the basics of GCP, such as: storage, compute and security; some basic coding skills (like Python); and a good understanding of databases. You do not need to have a background in data engineering or machine learning, but some experience with GCP is essential. This is an advanced certification and we strongly recommend that students take the Google Certified Associate Cloud Engineer exam before embarking on this course. However, anyone who is motivated and wants to understand how big data and machine learning is done on GCP will still find value with this course. Keep being awesome, Cloud Gurus! About Author I'm a multi-skilled technologist with over 20 years of experience in the architecture and implementation of distributed enterprise systems. I've worked on large business-critical infrastructure overhauls, distributed virtualisation platforms and cloud migrations. I'm passionate about cloud-native technologies and automating all the things!
يوتيوب فيديو:
الفئة:	Tutorials
اللغة:	English
إجمالي حجم:	2.55 GB
تجزئة المعلومات:	B3E45DA38277D7F9E4EDC06C129C12FDFE2DBA90
وأضاف بها:	Prom3th3uS
تاريخ الإضافة:	2020-04-17 05:06:58
سيل مركز:	Torrent Verified

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ملف قائمة:

ملف	حجم
0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url	377.00 B
0. Websites you may like/1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url	286.00 B
0. Websites you may like/2. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, & more.etc.url	163.00 B
0. Websites you may like/3. (FTUApps.com) Download Cracked Developers Applications For Free.url	239.00 B
0. Websites you may like/How you can help our Group!.txt	208.00 B
01 Introduction/001 Welcome.mp4	30.15 MB
01 Introduction/002 About This Course.mp4	48.42 MB
01 Introduction/003 Course Audience and Prerequisites.mp4	12.35 MB
02 Data Processing Fundamentals/001 Data Processing Concepts.mp4	93.68 MB
02 Data Processing Fundamentals/002 Data Processing Pipelines.mp4	18.79 MB
03 Storage and Databases/001 Introduction to Data Storage in GCP.mp4	59.10 MB
03 Storage and Databases/002 Working with Data.mp4	16.16 MB
03 Storage and Databases/003 Cloud Storage.mp4	23.08 MB
03 Storage and Databases/003 GCS Documentation.txt	39.00 B
03 Storage and Databases/003 GCS Pricing.txt	41.00 B
03 Storage and Databases/004 GCS Access Control Lists (ACLs).txt	73.00 B
03 Storage and Databases/004 GCS IAM Permissions.txt	75.00 B
03 Storage and Databases/004 Service Accounts.mp4	14.87 MB
03 Storage and Databases/005 BigQuery Data Transfer Service.txt	44.00 B
03 Storage and Databases/005 Cloud Storage Transfer Service.txt	48.00 B
03 Storage and Databases/005 Data Transfer Services.mp4	8.90 MB
03 Storage and Databases/006 Cloud SQL Documentation.txt	35.00 B
03 Storage and Databases/006 Cloud SQL.mp4	22.61 MB
03 Storage and Databases/006 Replicating from an external server.txt	68.00 B
03 Storage and Databases/006 Requirements and tips for configuring replication.txt	57.00 B
03 Storage and Databases/007 forumdb.sql	65.50 kB
03 Storage and Databases/007 LAB Creating a Cloud SQL Instance and Loading Data.mp4	29.54 MB
03 Storage and Databases/008 Cloud Firestore Documentation.txt	41.00 B
03 Storage and Databases/008 Cloud Firestore.mp4	23.60 MB
03 Storage and Databases/009 ANSI SQL best practices.txt	57.00 B
03 Storage and Databases/009 CAP Theorem.txt	42.00 B
03 Storage and Databases/009 Cloud Spanner Documentation.txt	39.00 B
03 Storage and Databases/009 Cloud Spanner.mp4	28.26 MB
03 Storage and Databases/009 Distributed database quorums.txt	61.00 B
03 Storage and Databases/009 Multi-regional best practices.txt	76.00 B
03 Storage and Databases/009 Regional best practices.txt	72.00 B
03 Storage and Databases/010 GCP Samples (C).txt	59.00 B
03 Storage and Databases/010 GCP Samples (Go).txt	54.00 B
03 Storage and Databases/010 GCP Samples (Java).txt	57.00 B
03 Storage and Databases/010 GCP Samples (PHP).txt	56.00 B
03 Storage and Databases/010 GCP Samples (Python).txt	59.00 B
03 Storage and Databases/010 GCP Samples (Ruby).txt	57.00 B
03 Storage and Databases/010 LAB Working with Cloud Spanner.mp4	21.85 MB
03 Storage and Databases/010 Node.txt	45.00 B
03 Storage and Databases/010 spannerlab-schema.sql	349.00 B
03 Storage and Databases/011 Cloud Memorystore Documentation.txt	49.00 B
03 Storage and Databases/011 Cloud Memorystore.mp4	10.39 MB
03 Storage and Databases/012 LAB Working with Cloud Memorystore.mp4	35.96 MB
03 Storage and Databases/012 Redis-CLI Documentation.txt	33.00 B
03 Storage and Databases/012 Retwis GitHub repo.txt	46.00 B
03 Storage and Databases/013 Comparing Storage Options.mp4	14.66 MB
03 Storage and Databases/014 Exam Tips.mp4	6.93 MB
04 Big Data Ecosystem/001 MapReduce research paper.pdf	186.24 kB
04 Big Data Ecosystem/001 MapReduce.mp4	48.99 MB
04 Big Data Ecosystem/002 Hadoop HDFS.mp4	22.79 MB
04 Big Data Ecosystem/003 Apache Pig.mp4	7.43 MB
04 Big Data Ecosystem/004 Apache Spark.mp4	30.23 MB
04 Big Data Ecosystem/005 Apache Kafka.mp4	17.08 MB
05 Real Time Messaging with PubSub/001 PubSub Concepts.mp4	51.34 MB
05 Real Time Messaging with PubSub/002 PubSub Basics.mp4	8.90 MB
05 Real Time Messaging with PubSub/003 LAB Working with Cloud PubSub.mp4	31.70 MB
05 Real Time Messaging with PubSub/004 bored.py	1,005.00 B
05 Real Time Messaging with PubSub/004 GCP Samples (C).txt	59.00 B
05 Real Time Messaging with PubSub/004 GCP Samples (Go).txt	54.00 B
05 Real Time Messaging with PubSub/004 GCP Samples (Java).txt	57.00 B
05 Real Time Messaging with PubSub/004 GCP Samples (PHP).txt	56.00 B
05 Real Time Messaging with PubSub/004 GCP Samples (Python).txt	59.00 B
05 Real Time Messaging with PubSub/004 GCP Samples (Ruby).txt	57.00 B
05 Real Time Messaging with PubSub/004 LAB Cloud PubSub Client Libraries.mp4	40.61 MB
05 Real Time Messaging with PubSub/004 Node.txt	44.00 B
05 Real Time Messaging with PubSub/005 Advanced PubSub.mp4	17.30 MB
05 Real Time Messaging with PubSub/005 PubSub IAM Roles.txt	67.00 B
05 Real Time Messaging with PubSub/005 PubSub Stackdriver Metrics.txt	63.00 B
05 Real Time Messaging with PubSub/006 LAB Loosely Coupled Services with Cloud PubSub.mp4	35.77 MB
05 Real Time Messaging with PubSub/006 Source Code gen_thumbnail.Source Code gen_thumbnail	2.32 kB
05 Real Time Messaging with PubSub/007 LAB Stream Data through Cloud PubSub to BigQuery.mp4	59.58 MB
05 Real Time Messaging with PubSub/007 MOCK_DATA.csv	39.22 kB
05 Real Time Messaging with PubSub/007 transactions.py	1.09 kB
05 Real Time Messaging with PubSub/008 Exam Tips.mp4	10.97 MB
06 Pipelines with Cloud Dataflow/001 Apache Beam overview.txt	51.00 B
06 Pipelines with Cloud Dataflow/001 Apache Beam programming model.txt	71.00 B
06 Pipelines with Cloud Dataflow/001 Dataflow Introduction.mp4	15.39 MB
06 Pipelines with Cloud Dataflow/002 Pipeline Lifecycle.mp4	16.12 MB
06 Pipelines with Cloud Dataflow/003 Dataflow Pipeline Concepts.mp4	15.22 MB
06 Pipelines with Cloud Dataflow/004 Advanced Dataflow Concepts.mp4	15.18 MB
06 Pipelines with Cloud Dataflow/004 Concepts.txt	71.00 B
06 Pipelines with Cloud Dataflow/005 Dataflow Security and Access.mp4	17.06 MB
06 Pipelines with Cloud Dataflow/006 Deploying a pipeline.txt	67.00 B
06 Pipelines with Cloud Dataflow/006 Using Dataflow.mp4	22.15 MB
06 Pipelines with Cloud Dataflow/007 Exam Tips.mp4	10.41 MB
06 Pipelines with Cloud Dataflow/008 Lab Commands.Lab Commands	586.00 B
06 Pipelines with Cloud Dataflow/008 LAB Working with Cloud Dataflow.mp4	31.60 MB
06 Pipelines with Cloud Dataflow/009 Beam Programming Guide.txt	57.00 B
06 Pipelines with Cloud Dataflow/009 Lab Code.Lab Code	3.07 kB
06 Pipelines with Cloud Dataflow/009 Lab Commands.Lab Commands	479.00 B
06 Pipelines with Cloud Dataflow/009 LAB Streaming Pipelines with Cloud Dataflow.mp4	60.04 MB
07 Managed Spark with Cloud Dataproc/001 Dataproc Overview.mp4	8.89 MB
07 Managed Spark with Cloud Dataproc/002 Dataproc Basics.mp4	8.31 MB
07 Managed Spark with Cloud Dataproc/003 Estimating Pi using the Monte Carlo method.txt	53.00 B
07 Managed Spark with Cloud Dataproc/003 LAB Working with Cloud Dataproc.mp4	20.96 MB
07 Managed Spark with Cloud Dataproc/003 Monte Carlo method.txt	49.00 B
07 Managed Spark with Cloud Dataproc/003 Submitting jobs to Cloud Dataproc.txt	57.00 B
07 Managed Spark with Cloud Dataproc/004 Advanced Dataproc.mp4	15.83 MB
07 Managed Spark with Cloud Dataproc/004 Autoscaling Clusters.txt	81.00 B
07 Managed Spark with Cloud Dataproc/004 Dataproc Cluster Properties.txt	88.00 B
07 Managed Spark with Cloud Dataproc/004 Dataproc IAM.txt	56.00 B
07 Managed Spark with Cloud Dataproc/005 LAB Cloud Dataproc with the GCS Connector.mp4	25.03 MB
07 Managed Spark with Cloud Dataproc/005 Project Gutenberg.txt	37.00 B
07 Managed Spark with Cloud Dataproc/005 wordcount.py	1.02 kB
07 Managed Spark with Cloud Dataproc/006 Exam Tips.mp4	8.63 MB
08 NoSQL Data with Cloud Bigtable/001 Bigtable Concepts.mp4	13.93 MB
08 NoSQL Data with Cloud Bigtable/002 Bigtable Application Profiles.txt	52.00 B
08 NoSQL Data with Cloud Bigtable/002 Bigtable Architecture.mp4	15.18 MB
08 NoSQL Data with Cloud Bigtable/002 Bigtable IAM Roles.txt	54.00 B
08 NoSQL Data with Cloud Bigtable/002 Bigtable Quotas Limits.txt	41.00 B
08 NoSQL Data with Cloud Bigtable/003 Bigtable Data Model.mp4	10.23 MB
08 NoSQL Data with Cloud Bigtable/003 Bigtable Garbage Collection Defaults.txt	67.00 B
08 NoSQL Data with Cloud Bigtable/004 cbt Reference.txt	53.00 B
08 NoSQL Data with Cloud Bigtable/004 Cloud Bigtable examples.txt	67.00 B
08 NoSQL Data with Cloud Bigtable/004 Lab commands.Lab commands	1.14 kB
08 NoSQL Data with Cloud Bigtable/004 LAB Working with Cloud Bigtable.mp4	51.77 MB
08 NoSQL Data with Cloud Bigtable/005 Bigtable Schema Design.mp4	16.63 MB
08 NoSQL Data with Cloud Bigtable/005 Visualizing Cloud Bigtable Access Patterns at Twitter for Optimizing Analytics (YouTube).txt	44.00 B
08 NoSQL Data with Cloud Bigtable/006 Bigtable Advanced Concepts.mp4	14.29 MB
08 NoSQL Data with Cloud Bigtable/006 Monitoring a Cloud Bigtable Instance.txt	59.00 B
08 NoSQL Data with Cloud Bigtable/007 Cloud Bigtable examples.txt	63.00 B
08 NoSQL Data with Cloud Bigtable/007 dataloader.py	970.00 B
08 NoSQL Data with Cloud Bigtable/007 Fire Weather Index (FWI) System.txt	74.00 B
08 NoSQL Data with Cloud Bigtable/007 Forest Fires dataset.txt	53.00 B
08 NoSQL Data with Cloud Bigtable/007 forestfires.csv	7.65 kB
08 NoSQL Data with Cloud Bigtable/007 LAB Loading and Querying Data with Cloud Bigtable.mp4	40.71 MB
08 NoSQL Data with Cloud Bigtable/008 Exam Tips.mp4	9.58 MB
09 Data Analytics with BigQuery/001 BigQuery Basics.mp4	15.30 MB
09 Data Analytics with BigQuery/001 BigQuery documentation - working with datasets.txt	54.00 B
09 Data Analytics with BigQuery/001 BigQuery main page.txt	35.00 B
09 Data Analytics with BigQuery/001 Interacting with BigQuery.txt	65.00 B
09 Data Analytics with BigQuery/002 BigQuery Capacitor.txt	110.00 B
09 Data Analytics with BigQuery/002 BigQuery documentation - BigQuery jobs.txt	53.00 B
09 Data Analytics with BigQuery/002 BigQuery documentation - loading data into BigQuery.txt	52.00 B
09 Data Analytics with BigQuery/002 BigQuery documentation - table schemas.txt	47.00 B
09 Data Analytics with BigQuery/002 BigQuery documentation - views.txt	51.00 B
09 Data Analytics with BigQuery/002 BigQuery documentation - working with external data.txt	56.00 B
09 Data Analytics with BigQuery/002 BigQuery documentation - working with tables.txt	52.00 B
09 Data Analytics with BigQuery/002 BigQuery Transfer Service.txt	74.00 B
09 Data Analytics with BigQuery/002 Using BigQuery.mp4	37.37 MB
09 Data Analytics with BigQuery/003 BigQuery documentation - working with clustered tables.txt	56.00 B
09 Data Analytics with BigQuery/003 BigQuery documentation - working with partitions.txt	58.00 B
09 Data Analytics with BigQuery/003 Partitioning and Clustering.mp4	23.63 MB
09 Data Analytics with BigQuery/004 Best Practices.mp4	21.64 MB
09 Data Analytics with BigQuery/004 Controlling costs.txt	60.00 B
09 Data Analytics with BigQuery/004 Optimising storage.txt	62.00 B
09 Data Analytics with BigQuery/004 Query performance.txt	75.00 B
09 Data Analytics with BigQuery/005 Cloud KMS keys.txt	67.00 B
09 Data Analytics with BigQuery/005 Data Loss Prevention and BigQuery.txt	53.00 B
09 Data Analytics with BigQuery/005 Encryption at rest.txt	58.00 B
09 Data Analytics with BigQuery/005 Predefined roles and permissions.txt	54.00 B
09 Data Analytics with BigQuery/005 Primitive roles and permissions.txt	70.00 B
09 Data Analytics with BigQuery/005 Securing BigQuery.mp4	11.64 MB
09 Data Analytics with BigQuery/006 Audit logs.txt	60.00 B
09 Data Analytics with BigQuery/006 BigQuery Monitoring and Logging.mp4	9.13 MB
09 Data Analytics with BigQuery/006 Monitoring using Stackdriver.txt	50.00 B
09 Data Analytics with BigQuery/007 BigQuery ML documentation.txt	43.00 B
09 Data Analytics with BigQuery/007 Machine Learning with BigQuery ML.mp4	10.44 MB
09 Data Analytics with BigQuery/008 Exam Tips.mp4	9.24 MB
09 Data Analytics with BigQuery/009 Dummy data files.Dummy data files	83.29 kB
09 Data Analytics with BigQuery/009 Lab Commands.Lab Commands	429.00 B
09 Data Analytics with BigQuery/009 LAB Working with BigQuery.mp4	38.57 MB
09 Data Analytics with BigQuery/009 Loading CSV data from Cloud Storage.txt	70.00 B
09 Data Analytics with BigQuery/009 Loading JSON data from Cloud Storage.txt	71.00 B
09 Data Analytics with BigQuery/010 LAB Advanced BigQuery Features.mp4	58.13 MB
09 Data Analytics with BigQuery/010 Lab Commands.Lab Commands	1.87 kB
10 Exploration with Cloud Datalab/001 Cloud Datalab docs.txt	39.00 B
10 Exploration with Cloud Datalab/001 Datalab Concepts.mp4	9.36 MB
10 Exploration with Cloud Datalab/002 LAB Working with Cloud Datalab.mp4	37.08 MB
10 Exploration with Cloud Datalab/003 Introduction to Jupyter Notebooks (ACG Course).txt	60.00 B
10 Exploration with Cloud Datalab/003 LAB Jupyter Notebooks in GCP.mp4	40.22 MB
11 Visualization with Cloud Data Studio/001 Reporting and Business Intelligence.mp4	7.83 MB
11 Visualization with Cloud Data Studio/002 Data Distributions.mp4	20.83 MB
11 Visualization with Cloud Data Studio/003 Introduction to Data Studio.mp4	7.73 MB
11 Visualization with Cloud Data Studio/004 Charts and Filters.mp4	13.96 MB
12 Orchestration with Cloud Composer/001 Cloud Composer Overview.mp4	15.30 MB
12 Orchestration with Cloud Composer/002 Cloud Composer Architecture.mp4	8.86 MB
12 Orchestration with Cloud Composer/003 GCP Regions and Zones.txt	52.00 B
12 Orchestration with Cloud Composer/003 hadoop-wordcount.py.zip	1.19 kB
12 Orchestration with Cloud Composer/003 Lab Working with Cloud Composer.mp4	46.60 MB
12 Orchestration with Cloud Composer/003 War Peace at Project Gutenburg.txt	37.00 B
12 Orchestration with Cloud Composer/004 Advanced Cloud Composer.mp4	9.52 MB
12 Orchestration with Cloud Composer/004 Airflow Plugins.html	113.74 kB
12 Orchestration with Cloud Composer/004 Blocked Configurations.txt	71.00 B
13 Introduction to Machine Learning/001 AI at Google.txt	18.00 B
13 Introduction to Machine Learning/001 Google AI and machine learning products.txt	38.00 B
13 Introduction to Machine Learning/001 Machine Learning Introduction.mp4	25.62 MB
13 Introduction to Machine Learning/001 The difference between AI ML and deep learning.txt	117.00 B
13 Introduction to Machine Learning/002 L1 Regularisation.txt	106.00 B
13 Introduction to Machine Learning/002 L2 Regularisation.txt	108.00 B
13 Introduction to Machine Learning/002 Linear regression.txt	97.00 B
13 Introduction to Machine Learning/002 Machine Learning Basics.mp4	39.87 MB
13 Introduction to Machine Learning/002 ML Terminology.txt	83.00 B
13 Introduction to Machine Learning/002 Regularisation.txt	77.00 B
13 Introduction to Machine Learning/002 Training models.txt	97.00 B
13 Introduction to Machine Learning/002 Worked gradient descent example.html	38.46 kB
13 Introduction to Machine Learning/003 Difference between supervised unsupervised and reinforcement learning.txt	75.00 B
13 Introduction to Machine Learning/003 Introduction to clustering.txt	80.00 B
13 Introduction to Machine Learning/003 Introduction to linear regression.txt	88.00 B
13 Introduction to Machine Learning/003 Introduction to logistic regression.txt	90.00 B
13 Introduction to Machine Learning/003 Introduction to transfer learning.txt	72.00 B
13 Introduction to Machine Learning/003 Machine Learning Types and Models.mp4	24.91 MB
13 Introduction to Machine Learning/004 Cross validation.txt	60.00 B
13 Introduction to Machine Learning/004 Early stopping.txt	95.00 B
13 Introduction to Machine Learning/004 L1 Regularisation.txt	106.00 B
13 Introduction to Machine Learning/004 L2 Regularisation.txt	108.00 B
13 Introduction to Machine Learning/004 Overfitting.mp4	21.21 MB
13 Introduction to Machine Learning/004 Regularisation.txt	77.00 B
13 Introduction to Machine Learning/005 Hyperparameter tuning.txt	117.00 B
13 Introduction to Machine Learning/005 Hyperparameters and parameters.txt	88.00 B
13 Introduction to Machine Learning/005 Hyperparameters.mp4	10.02 MB
13 Introduction to Machine Learning/006 Cleaning data.txt	89.00 B
13 Introduction to Machine Learning/006 Feature Engineering.mp4	23.63 MB
13 Introduction to Machine Learning/006 Feature engineering.txt	95.00 B
14 Machine Learning with TensorFlow/001 Colab tutorial.txt	44.00 B
14 Machine Learning with TensorFlow/001 Deep Learning with TensorFlow.mp4	17.03 MB
14 Machine Learning with TensorFlow/001 Keras overview.txt	48.00 B
14 Machine Learning with TensorFlow/001 Keras.txt	17.00 B
14 Machine Learning with TensorFlow/001 Project Jupyter.txt	20.00 B
14 Machine Learning with TensorFlow/001 TensforFlow overview.txt	37.00 B
14 Machine Learning with TensorFlow/002 Activation functions.txt	81.00 B
14 Machine Learning with TensorFlow/002 Introduction to Artificial Neural Networks.mp4	45.54 MB
14 Machine Learning with TensorFlow/002 Overview of deep learning.txt	66.00 B
14 Machine Learning with TensorFlow/002 Weights and layers.txt	65.00 B
14 Machine Learning with TensorFlow/003 Neural Network Architectures.mp4	20.14 MB
14 Machine Learning with TensorFlow/004 Building a Neural Network.mp4	10.75 MB
15 Using Pre-Trained ML Cloud APIs/001 Cloud AI Cloud APIs.mp4	12.62 MB
15 Using Pre-Trained ML Cloud APIs/002 Vision.mp4	26.36 MB
15 Using Pre-Trained ML Cloud APIs/003 Video Intelligence.mp4	17.82 MB
15 Using Pre-Trained ML Cloud APIs/004 Language.mp4	25.10 MB
15 Using Pre-Trained ML Cloud APIs/005 Conversation.mp4	27.47 MB
15 Using Pre-Trained ML Cloud APIs/006 Bleeding hand picture.txt	59.00 B
15 Using Pre-Trained ML Cloud APIs/006 Cute dog picture.txt	66.00 B
15 Using Pre-Trained ML Cloud APIs/006 GCP Pricing.txt	38.00 B
15 Using Pre-Trained ML Cloud APIs/006 Lab code.Lab code	3.45 kB
15 Using Pre-Trained ML Cloud APIs/006 LAB Working with Cloud ML APIs.mp4	52.56 MB
16 Leveraging Auto ML Platform/001 Introduction to AutoML.mp4	10.01 MB
16 Leveraging Auto ML Platform/002 Sight with AutoML.mp4	12.54 MB
16 Leveraging Auto ML Platform/003 Language with AutoML.mp4	11.73 MB
16 Leveraging Auto ML Platform/004 Structured Data with AutoML.mp4	9.71 MB
17 Operationalizing Machine Learning Models/001 Introduction to Operationalizing ML Models.mp4	11.33 MB
17 Operationalizing Machine Learning Models/002 Kubeflow.mp4	7.86 MB
17 Operationalizing Machine Learning Models/003 AI Platform.mp4	9.06 MB
18 Data Security and Industry Regulation/001 Security and Regulation Overview.mp4	20.65 MB
18 Data Security and Industry Regulation/002 IAM Best Practices.mp4	14.83 MB
18 Data Security and Industry Regulation/003 Data Security.mp4	11.83 MB
18 Data Security and Industry Regulation/003 Security Command Center Quick Start.txt	75.00 B
18 Data Security and Industry Regulation/004 Cloud DLP Pricing.txt	37.00 B
18 Data Security and Industry Regulation/004 Data Privacy.mp4	12.77 MB
18 Data Security and Industry Regulation/005 Complying with COPPA FAQ.txt	100.00 B
18 Data Security and Industry Regulation/005 EU Data Protection Rules (GDPR).txt	149.00 B
18 Data Security and Industry Regulation/005 FedRAMP FAQs.txt	30.00 B
18 Data Security and Industry Regulation/005 GCP Compliance Resource Center.txt	46.00 B
18 Data Security and Industry Regulation/005 Industry Regulation.mp4	17.15 MB
18 Data Security and Industry Regulation/005 PCI DSS Quick Reference Guide.txt	85.00 B
19 Dataprep/001 Dataprep Overview.mp4	25.06 MB
19 Dataprep/002 LAB Working with Cloud Dataprep.mp4	59.99 MB
19 Dataprep/002 Mock data files.Mock data files	97.76 kB
20 Preparing for the Professional Data Engineer Exam/001 GCP Solutions Big Data.txt	42.00 B
20 Preparing for the Professional Data Engineer Exam/001 Reference Architectures Big Data.mp4	23.31 MB
20 Preparing for the Professional Data Engineer Exam/002 GCP Solutions AI ML.txt	45.00 B
20 Preparing for the Professional Data Engineer Exam/002 Learn Tensorflow.txt	33.00 B
20 Preparing for the Professional Data Engineer Exam/002 Reference Architectures Artificial Intelligence and Machine Learning.mp4	10.81 MB
20 Preparing for the Professional Data Engineer Exam/003 GCP Solutions IoT.txt	54.00 B
20 Preparing for the Professional Data Engineer Exam/003 Reference Architectures Internet of Things.mp4	11.18 MB
20 Preparing for the Professional Data Engineer Exam/004 Agones Overview.txt	39.00 B
20 Preparing for the Professional Data Engineer Exam/004 GCP Solutions Gaming.txt	38.00 B
20 Preparing for the Professional Data Engineer Exam/004 Reference Architectures Mobile Gaming.mp4	13.16 MB
20 Preparing for the Professional Data Engineer Exam/005 Applied Machine Learning with BigQuery (ACG).txt	64.00 B
20 Preparing for the Professional Data Engineer Exam/005 AutoML Vision API Tutorial.txt	53.00 B
20 Preparing for the Professional Data Engineer Exam/005 External Resources and Tutorials.mp4	8.73 MB
20 Preparing for the Professional Data Engineer Exam/005 Introduction to Jupyter Notebooks (ACG).txt	60.00 B
20 Preparing for the Professional Data Engineer Exam/005 ML Basics with Keras Tutorials.txt	58.00 B
20 Preparing for the Professional Data Engineer Exam/005 Python for Beginners (ACG).txt	47.00 B
20 Preparing for the Professional Data Engineer Exam/005 TensorFlow 2 Quickstart Tutorial.txt	57.00 B
20 Preparing for the Professional Data Engineer Exam/005 Visualizing GCP Billing using BigQuery and Data Studio.txt	98.00 B
20 Preparing for the Professional Data Engineer Exam/006 Exam Guide Breakdown.mp4	60.35 MB
20 Preparing for the Professional Data Engineer Exam/007 What to Expect From the Exam.mp4	24.49 MB
20 Preparing for the Professional Data Engineer Exam/008 Thank You and Good Luck.mp4	10.18 MB

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A Cloud Guru | Google Certified Professional Data Engineer [FCO]